CNR Institutional Research Information System

GUARASCIO, MASSIMO
 Distribuzione geografica
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Continente #
NA - Nord America 3.037
AS - Asia 2.657
EU - Europa 1.124
SA - Sud America 463
Continente sconosciuto - Info sul continente non disponibili 309
AF - Africa 82
OC - Oceania 10
Totale 7.682
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Nazione #
US - Stati Uniti d'America 2.862
SG - Singapore 1.005
CN - Cina 647
IT - Italia 504
BR - Brasile 345
VN - Vietnam 282
HK - Hong Kong 222
FR - Francia 128
KR - Corea 110
DE - Germania 101
NL - Olanda 93
CA - Canada 82
JP - Giappone 76
GB - Regno Unito 67
BD - Bangladesh 66
IN - India 59
AR - Argentina 31
AT - Austria 31
MX - Messico 31
ID - Indonesia 30
ZA - Sudafrica 29
FI - Finlandia 26
CO - Colombia 24
PL - Polonia 22
ES - Italia 21
IL - Israele 17
RU - Federazione Russa 17
EC - Ecuador 16
UA - Ucraina 16
SA - Arabia Saudita 15
BE - Belgio 13
IQ - Iraq 13
PK - Pakistan 13
TR - Turchia 13
AZ - Azerbaigian 12
CH - Svizzera 12
CL - Cile 12
CR - Costa Rica 12
JM - Giamaica 12
PH - Filippine 12
HN - Honduras 11
PE - Perù 10
AU - Australia 9
DZ - Algeria 9
EG - Egitto 9
IE - Irlanda 9
MA - Marocco 9
TH - Thailandia 9
VE - Venezuela 9
AE - Emirati Arabi Uniti 8
MY - Malesia 8
NI - Nicaragua 8
PT - Portogallo 8
SE - Svezia 8
UZ - Uzbekistan 8
GR - Grecia 7
LT - Lituania 7
BO - Bolivia 6
KE - Kenya 6
KG - Kirghizistan 6
PY - Paraguay 6
AL - Albania 4
BY - Bielorussia 4
DK - Danimarca 4
GE - Georgia 4
GT - Guatemala 4
NO - Norvegia 4
SV - El Salvador 4
UY - Uruguay 4
CM - Camerun 3
EE - Estonia 3
ET - Etiopia 3
LV - Lettonia 3
MD - Moldavia 3
PR - Porto Rico 3
SN - Senegal 3
TN - Tunisia 3
BB - Barbados 2
BF - Burkina Faso 2
BG - Bulgaria 2
CY - Cipro 2
IR - Iran 2
JO - Giordania 2
KH - Cambogia 2
KZ - Kazakistan 2
NP - Nepal 2
RS - Serbia 2
TT - Trinidad e Tobago 2
TW - Taiwan 2
AF - Afghanistan, Repubblica islamica di 1
AM - Armenia 1
AO - Angola 1
BH - Bahrain 1
BN - Brunei Darussalam 1
BW - Botswana 1
CZ - Repubblica Ceca 1
DJ - Gibuti 1
DM - Dominica 1
DO - Repubblica Dominicana 1
GA - Gabon 1
Totale 7.360
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Città #
Singapore 613
San Jose 446
Santa Clara 420
Dallas 301
Ashburn 223
Hefei 220
Hong Kong 218
Los Angeles 154
Beijing 148
Council Bluffs 134
Seoul 104
Lauterbourg 99
Ho Chi Minh City 87
Hanoi 79
Rende 73
New York 58
Tokyo 58
Rome 38
Orem 35
Nuremberg 31
São Paulo 30
Frankfurt am Main 29
Milan 28
Cosenza 24
Buffalo 23
Chicago 23
Phoenix 22
Atlanta 20
Brooklyn 20
Denver 20
Amsterdam 18
Boardman 17
Montreal 17
Newark 17
Toronto 17
Warsaw 17
Helsinki 16
Genoa 14
Johannesburg 14
Minamishinagawa 13
Naples 13
Vienna 13
Bologna 12
Boston 12
Catania 12
Da Nang 12
Manchester 12
Princeton 12
Turin 12
Baku 11
Bengaluru 11
Brussels 11
Florence 11
Bari 10
Curitiba 10
Düsseldorf 10
Houston 10
London 10
Philadelphia 10
Quito 10
San Francisco 10
San José 10
Chennai 9
Dhaka 9
Guangzhou 9
Haiphong 9
Mexico City 9
Mumbai 9
Abbeville 8
Cairo 8
Elk Grove Village 8
Munich 8
New Delhi 8
Porto Alegre 8
Rio de Janeiro 8
Tashkent 8
Kyiv 7
Lappeenranta 7
Managua 7
Medellín 7
Ottawa 7
Palermo 7
Springfield 7
Stockholm 7
Taranto 7
The Bronx 7
Belo Horizonte 6
Bishkek 6
Biên Hòa 6
Bogotá 6
Cincinnati 6
Dublin 6
Hải Dương 6
Kingston 6
Las Vegas 6
Lima 6
Portsmouth 6
Queens 6
Richmond 6
Riyadh 6
Totale 4.454
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Nome #
From Edge to Cloud: Securing Distributed Containerized Applications 253
Detecting DDoS Attacks in Microservice Architectures via AI-Based Agents 168
Fighting Misinformation, Radicalization and Bias in Social Media 139
Revealing MageCart-like Threats in Favicons via Artificial Intelligence 124
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 118
Sanitization of Images Containing Stegomalware via Machine Learning Approaches 108
A Federated Approach for Detecting Data Hidden in Icons of Mobile Applications Delivered via Web and Multiple Stores 107
Towards Self-Supervised Cross-Domain Fake News Detection 103
Exploiting fractal dimension and a distributed evolutionary approach to classify data streams with concept drifts 100
Combining deep ensemble learning and explanation for intelligent ticket management 100
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems 99
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 99
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders 95
Deep Sequential Modeling for Recommendation 93
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 92
ORISHA: Improving Threat Detection through Orchestrated Information Sharing 90
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities 90
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 88
Discovering ensembles of small language models out of scarcely labelled data for fake news detection 88
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 85
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity 85
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning 83
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 82
Data- & compute-efficient deviance mining via active learning and fast ensembles 82
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 80
Emerging Challenges and Perspectives in Deep Learning Model Security: A Brief Survey 78
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection 77
Strumenti Intelligenti per Threat Detection e Response 77
Integrating a framework for discovering alternative app stores in a mobile app monitoring platform 76
Improving MQTT Security Through the Generation of Malicious Test Cases 76
A Few to Unveil Them All: Leveraging Mixture of Experts on Minimal Data for Detecting Covert Channels in Containerized Cloud Infrastructures 76
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning 75
Breaking domain barriers: mixture of experts for cross-domain fake news detection 73
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls 72
A deep learning approach for detecting security attacks on blockchain 72
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 69
Exploiting Deep Learning and Explanation Methods for Movie Tag Prediction 68
A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources 68
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels 67
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 67
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 66
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels 66
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review 65
Discovering accurate deep learning based predictive models for automatic customer support ticket classification 65
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection 65
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons 64
Learning ensembles of deep neural networks for extreme rainfall event detection 64
Movie tag prediction: An extreme multi-label multi-modal transformer-based solution with explanation 64
An Explainable Deep Ensemble Framework for Intelligent Ticket Management 64
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems 63
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 62
Occupancy Prediction in Multi-Occupant IoT Environments Leveraging Federated Learning 62
A Deep Anomaly Detection System for IoT-Based Smart Buildings 61
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain 60
Deviance-Aware Discovery of High-Quality Process Models 59
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora 59
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 58
Bias e Fairness in Information Sharing e Filtering 58
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 58
Mitigation of Covert Communications in MQTT Topics Through Small Language Models 57
On learning effective ensembles of deep neural networks for intrusion detection 57
Large language models in the software supply chain: challenges and opportunities 56
From One to Many: Few-Shot Deep Ensembles for Slow DoS Attack Detection 56
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 55
A deep learning-based approach for stegomalware sanitization in digital images 55
Deobfuscation of JavaScript Code and Identification of Security Weaknesses Through Large Language Models 54
High Quality True-Positive Prediction for Fiscal Fraud Detection 54
Towards Extreme Multi-Label classification of Multimedia Content 54
A framework for the discovery of predictive fix-time models 53
A Sustainable AI-based Solution for Workplace Injury Classification in Industry 5.0 52
A data-adaptive trace abstraction approach to the prediction of business process performances 52
A Block Mixture Model for Pattern Discovery in Preference Data 52
Learning and Explanation of Extreme Multi-Label Deep Classification Models for Media Content 52
A Deep Learning based architecture for rainfall estimation integrating heterogeneous data sources 52
Human Behavior Discovery via Multidimensional Latent Factor Modeling 51
Network Topology 50
Knowledge Discovery in Databases 50
Rule Learning with Probabilistic Smoothing 50
Profiling Human Behavior through Multidimensional Latent Factor Modeling 49
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 49
Using Deep Learning and Data Integration for Accurate Rainfall Estimates 49
Context-aware predictions on business processes: An ensemble-based solution 48
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 47
Mining models of exceptional objects through rule learning 47
High Quality True-Positive Prediction for Fiscal Fraud Detection 47
Clustering for Learning from Safety-Related Undesired Events: Application to the Iron and Steel Industry 46
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 46
DALEK: combining deep active learning and explanations methods for fake news detection on COVID-19 45
Deviance-aware Discovery of High Quality Process Models 45
Deep Learning 45
A Cloud-based Prediction Framework for Analyzing Business Process Performances 44
Intelligenza Artificiale e Machine Learning nei Sistemi Industriali di Manutenzione 43
Discovering Domain-Agnostic Fake News Detectors Through Deep Self-Supervised Learning 42
Discovering of Alternative Marketplaces on the Web for Mobile App Security Monitoring 41
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 41
You Can Spread But You Cannot Hide: Discovering Accurate Multi-modal Deep Fusion Models for Fake News Detection 41
An empirical comparison of collaborative filtering approaches on netflix data 41
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains 39
Machine Learning per Behavior Analytics e Recommender Systems 39
Boosting SSVEP Multi-subject Classification Through Mixture of ResNet-Based Experts 39
Totale 6.910
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Categoria #
all - tutte 23.802
article - articoli 6.453
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 2.219
Totale 32.474
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2023/202476 0 0 0 0 0 0 0 0 17 14 32 13
2024/20252.243 21 10 187 65 406 111 146 130 149 137 467 414
2025/20263.940 243 349 474 519 627 279 566 158 233 284 94 114
2026/20271.423 278 144 564 437 0 0 0 0 0 0 0 0
Totale 7.682